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Law Incorporation [45]
3 years ago
15

Plz plz helpppppp0pp

Mathematics
1 answer:
postnew [5]3 years ago
5 0

Answer:

28cm

Step-by-step explanation:

Hi!

Let's find the area of the rectangle (we can form) and then tack on the area of the triangles.

We have 4 * 3 = 12. So the first area is 12.

Now, the triangles. We see that they will have base 4, and leg 2.

Using the Pythagorean Theorem:

4² + 2² = 20. √20 = 2√5. That won't really matter however, because we will multiply 4 by 2 to find the area.

4 * 2 = 8

The same will happen on the other side:

4 * 2 = 8 (note that we could've created a rectangle out of the triangles, but that would give us 16 too.)

8 + 8 = 16.

16 + 12 = 28

Thus, the area is 28 cm.

Hope this helps!

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Answer:

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Step-by-step explanation:

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3 years ago
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pogonyaev

Step-by-step explanation:

Hi,

For the first screenshot, your answer will be...

A) 1/10 + 1/4 ≤ 1

And for the second screenshot, your answer will be...

A) d ≤ -1/2n + 5

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Two​ shooters, Rodney and​ Philip, practice at a shooting range. They fire rounds each at separate targets. The targets are mark
Sedaia [141]

Complete Question

Answer:

a

  SE  = 0.66}

b

-3.29 <  \mu_1 - \mu_2 <  -0.70  

Step-by-step explanation:

From the question we are told that

  The sample size is  n  = 60

   The first sample mean is  \= x _1  =  8

    The second sample mean is   \= x _2  =  10

    The first variance is  v_1 =  0.25

    The first variance is  v_2 =  0.55

Given that  the confidence level is 95% then the level of significance is 5% =  0.05

Generally from the normal distribution table the critical value  of  \frac{\alpha }{2} is  

   Z_{\frac{\alpha }{2} } =  1.96

Generally the first standard deviation is  

     \sigma_1 =  \sqrt{v_1}

=>   \sigma_1 =  \sqrt{0.25}

=>   \sigma_1 =  0.5

Generally the second standard deviation is

     \sigma_2 =  \sqrt{v_2}

=>   \sigma_2 =  \sqrt{0.55}

=>   \sigma_2 =  0.742    

Generally the first standard error is

     SE_1  =  \frac{\sigma_1}{\sqrt{n} }

      SE_1  =  \frac{0.5}{\sqrt{60} }

     SE_1  =  0.06

Generally the second standard error is

     SE_2  =  \frac{\sigma_2}{\sqrt{n} }

      SE_2  =  \frac{0.742}{\sqrt{60} }

     SE_2  =  0.09

Generally the standard error of the difference between their mean scores is mathematically represented as    

      SE  =  \sqrt{SE_1^2 + SE_2^2 }

=>     SE  =  \sqrt{0.06^2 +0.09^2 }

=>     SE  = 0.66}

Generally 95% confidence interval is mathematically represented as  

      (\= x_1 -\= x_2) -(Z_{\frac{\alpha }{2} } *  SE) <  \mu_1 - \mu_2 <  (\= x_1 -\= x_2) +(Z_{\frac{\alpha }{2} } *  SE)

=> (8 -10) -(1.96 *  0.66) <  \mu_1 - \mu_2 <  (8-10) +(Z_{\frac{\alpha }{2} } *  0.66)  

=>  -3.29 <  \mu_1 - \mu_2 <  -0.70  

 

5 0
3 years ago
Help please!!! Thank you
Elena L [17]

<u>Given</u>:

The given expression is \frac{4 d+28}{12 d+96} \cdot \frac{d^{2}+14 d+48}{d^{2}+9 d+14}

We need to multiply the terms.

<u>Multiplication of the terms:</u>

Before multiplying the terms, first we shall find the factors of the quadratic equations.

Thus, we have;

\frac{4 d+28}{12 d+96} \cdot \frac{(d+6)(d+8)}{(d+2)(d+7)}

Factor out the common terms, we get;

\frac{4 (d+7)}{12 (d+8)} \cdot \frac{(d+6)(d+8)}{(d+2)(d+7)}

Let us cancel the common terms from the above expression.

Thus, we have;

\frac{4 }{12 } \cdot \frac{(d+6)}{(d+2)}

Simplifying, the term, we get;

\frac{1}{3 } \cdot \frac{(d+6)}{(d+2)}

Now, we shall multiply the terms.

Hence, multiplying the terms, we get;

\frac{(d+6)}{3(d+2)}

Thus, the multiplied value of the given expression is \frac{(d+6)}{3(d+2)}

6 0
3 years ago
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